针对低成本和高吞吐量硬件设计的简化HEVC FME插补单元

Vladimir Afonso, Henrique Maich, L. Agostini, Denis Franco
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引用次数: 5

摘要

只提供摘要形式。高分辨率数字视频应用的新需求推动了视频编码领域新技术的发展。本文提出了一种简化版的原始分数运动估计(FME)算法,该算法由新兴视频编码标准HEVC定义,以低成本和高吞吐量的硬件设计为目标。在使用HEVC参考软件HEVC模型(HM)进行评估的基础上,定义了一种简化策略,用于硬件设计,大大降低了HEVC的复杂性,但在压缩率和质量方面有一定的损失。所使用的策略考虑了在运动估计过程中只使用最常用的PU尺寸,避免了对HEVC中定义的24个PU尺寸的评估,也避免了RDO决策过程。这显著降低了ME复杂度,比特率损失低于13.18%,质量损失低于0.45dB。即使采用了建议的简化,建议的解决方案也完全符合当前版本的HEVC标准。针对硬件设计,通过一些代数操作、移位加法乘法转换和共享子表达式,简化了FME插值。在硬件上设计了简化的FME插补器,结果表明,该插补器对硬件资源的占用少,处理速率高,可以实时处理QFHD视频(3840x2160像素)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simplified HEVC FME Interpolation Unit Targeting a Low Cost and High Throughput Hardware Design
Summary form only given. The new demands for high resolution digital video applications are pushing the development of new techniques in the video coding area. This paper presents a simplified version of the original Fractional Motion Estimation (FME) algorithm defined by the HEVC emerging video coding standard targeting a low cost and high throughput hardware design. Based on evaluations using the HEVC Model (HM), the HEVC reference software, a simplification strategy was defined to be used in the hardware design, drastically reducing the HEVC complexity, but with some losses in terms of compression rates and quality. The used strategy considered the use of only the most used PU size in the Motion Estimation process, avoiding the evaluation of the 24 PU sizes defined in the HEVC and avoiding also the RDO decision process. This expressively reduces the ME complexity and causes a bit-rate loss lower than 13.18% and a quality loss lower than 0.45dB. Even with the proposed simplification, the proposed solution is fully compliant with the current version of the HEVC standard. The FME interpolation was also simplified targeting the hardware design through some algebraic manipulations, converting multiplications in shift-adds and sharing sub-expressions. The simplified FME interpolator was designed in hardware and the results showed a low use of hardware resources and a processing rate high enough to process QFHD videos (3840x2160 pixels) in real time.
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